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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ tags:
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+ - code
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+ size_categories:
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+ - 10M<n<100M
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+ ---
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+
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+ # HeuriGen
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+
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+ HeuriGen is a benchmark and agentic evaluation framework designed to rigorously assess Large Language Models (LLMs) on combinatorial optimization (CO) problems — a domain where success requires more than pattern recognition: it demands creative algorithm design, multi-step planning, tool use, and adaptive reasoning.
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+
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+ ## 🧠 Motivation
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+
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+ While LLMs have shown impressive capabilities in coding and open-ended reasoning, existing benchmarks fall short:
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+ - Objective benchmarks (e.g., HumanEval, AIME) are prone to saturation and fail to test creativity or multi-step reasoning.
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+ - Subjective evaluations (e.g., Chatbot Arena) allow diverse outputs but often rely on noisy or superficial feedback.
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+
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+ To bridge this gap, HeuriGen introduces real-world CO tasks that:
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+ - Feature well-defined objectives with expansive solution spaces.
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+ - Require heuristic design, not just memorized answers.
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+ - Enable quantitative and automated evaluation through code execution.
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+
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+ ## Problem Set
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+
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+ | Problem | Domain |
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+ | :--: | :--: |
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+ | [Operator Scheduling]() | Electronic Design Automation |
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+ | [E-Graph Extraction]() | Compilers |
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+ | [Pickup and Delivery w/ Time Windoes]() | Logistics |
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+ | [Technology Mapping]() | Electronic Design Automation |
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+ | [Global Routing]() | Electronic Design Automation |
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+ | [Protein Sequence Design]() | Computational Biology |
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+ | [Airline Crew Pairing]() | Logistics |
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+ | [Pedigree]() | Computational Biology |
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+ | [Intra-Op Parallelism]() | Compilers |